ArticleNeuroImage2020
Cytoarchitecture of the mouse brain by high resolution diffusion magnetic resonance imaging.
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 2-Ex vivo imaging: Added value and acquisition.Magnetic resonance in medicine · 2025Guideline
- Detecting Beta-Amyloid Plaque via Low Rank Based Orthogonal Projection and Spatial-Spectrum Detector Using High-Resolution Quantitative Susceptibility Mapping for Preclinical Studies.IEEE transactions on bio-medical engineering · 2026Article
- An anatomical and connectivity atlas of the tree shrew brain to bridge rodent and primate neuroanatomy.PLoS biology · 2026Article
- Decoding gray matter, large-scale analysis of brain cell morphometry to inform microstructural modeling of diffusion MR signals.Communications biology · 2026Article
- A practical prescription for magnetic resonance microscopy in a horizontal bore magnet.Npj imaging · 2025Article
- Layer-specific changes in sensory cortex across the lifespan in mice and humans.Nature neuroscience · 2025Article
- Estimating Brain Similarity Networks With Diffusion MRI.Human brain mapping · 2025Article
- Mapping the microstructure of human cerebral cortex in vivo with diffusion MRI.Communications biology · 2025Article
- Brain iron accumulation in neurodegenerative disorders: Does air pollution play a role?Particle and fibre toxicology · 2025Article
- High-resolution diffusion magnetic resonance imaging and spatial-transcriptomic in developing mouse brain.NeuroImage · 2024Article
- A practical evaluation of measures derived from compressed sensing diffusion spectrum imaging.Human brain mapping · 2024Article
- Direct segmentation of cortical cytoarchitectonic domains using ultra-high-resolution whole-brain diffusion MRI.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Ex vivo 100 μm isotropic diffusion MRI-based tractography of connectivity changes in the end-stage R6/2 mouse model of Huntington's disease.Neuroprotection (Chichester, England) · 2023Article
- Towards reliable reconstruction of the mouse brain corticothalamic connectivity using diffusion MRI.NeuroImage · 2023Article
- Integrating multimodality magnetic resonance imaging to the Allen Mouse Brain Common Coordinate Framework.NMR in biomedicine · 2023Article
- Merged magnetic resonance and light sheet microscopy of the whole mouse brain.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Reorganization of thalamocortical connections in congenitally blind humans.Human brain mapping · 2023Article
- Neurotoxic effects of air pollution: an urgent public health concern.Nature reviews. Neuroscience · 2023Article
- Establishing the Validity of Compressed Sensing Diffusion Spectrum Imaging.bioRxiv : the preprint server for biology · 2023Article
- Mouse brain MR super-resolution using a deep learning network trained with optical imaging data.Frontiers in radiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
MRI has been widely used to probe the neuroanatomy of the mouse brain, directly correlating MRI findings to histology is still challenging due to the limited spatial resolution and various image contrasts derived from water relaxation or diffusion properties. Magnetic resonance histology has the potential to become an indispensable research tool to mitigate such challenges. In the present study, we acquired high spatial resolution MRI datasets, including diffusion MRI (dMRI) at 25 μm isotropic resolution and quantitative susceptibility mapping (QSM) at 21.5 μm isotropic resolution to validate with conventional mouse brain histology. Diffusion weighted images (DWIs) show better delineation of cortical layers and glomeruli in the olfactory bulb than fractional anisotropy (FA) maps. However, among all the image contrasts, including quantitative susceptibility mapping (QSM), T1/T2∗ images and DTI metrics, FA maps highlight unique laminar architecture in sub-regions of the hippocampus, including the strata of the dentate gyrus and CA fields of the hippocampus. The mean diffusivity (MD) and axial diffusivity (AD) yield higher correlation with DAPI (0.62 and 0.71) and NeuN (0.78 and 0.74) than with NF-160 (-0.34 and -0.49). The correlations between FA and DAPI, NeuN, and NF-160 are 0.31, -0.01, and -0.49, respectively. Our findings demonstrate that MRI at microscopic resolution deliver a three-dimensional, non-invasive and non-destructive platform for characterization of fine structural detail in both gray matter and white matter of the mouse brain.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.